• DocumentCode
    1817405
  • Title

    Image reconstruction strategies using dual modality MRI-NIR data

  • Author

    Dehghani, Hamid ; Pogue, Brian W. ; Brooksby, Ben ; Srinivasan, Subhadra ; Paulsen, Keith D.

  • Author_Institution
    Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    682
  • Lastpage
    685
  • Abstract
    An imaging system which simultaneously performs near infrared (NIR) tomography and magnetic resonance imaging (MRI) has been developed at Dartmouth College, to study breast tissue of women in vivo. A NIR image reconstruction technique which exploits the combined multi-wavelength data set is presented which implements the MR structure as a soft-constraint in the NIR property estimation. The benefits of spatial and spectral priors, applied independently and together, in NIR diffuse tomography image reconstruction of in vivo measurements are presented. When both spatial and spectral priors are applied in a healthy volunteer, glandular tissue shows higher total blood content, water, and scattering power compared to fatty tissue
  • Keywords
    biological organs; biological tissues; biomedical MRI; biomedical optical imaging; blood; gynaecology; image reconstruction; medical image processing; optical tomography; NIR diffuse tomography; breast tissue; dual modality MRI-NIR data; fatty tissue; glandular tissue; image reconstruction; magnetic resonance imaging; near infrared tomography; scattering power; spatial priors; spectral priors; total blood content; water; Blood; Breast tissue; Educational institutions; Image reconstruction; In vivo; Infrared imaging; Magnetic resonance imaging; Optical imaging; Scattering; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1625008
  • Filename
    1625008